Triple
T16401725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamikaze |
E398317
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Lucky You |
E1212312
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lucky You | Statement: [Kamikaze, notableSong, Lucky You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucky You Context triple: [Kamikaze, notableSong, Lucky You]
-
A.
Lucky You
Lucky You is a 2007 romantic drama film set in the high-stakes world of professional poker in Las Vegas, starring Eric Bana and Drew Barrymore.
-
B.
Lucky You
chosen
"Lucky You" is a hip hop track by Eminem featuring Joyner Lucas, known for its rapid-fire verses and introspective lyrics about success and criticism in the rap industry.
-
C.
Lucky Me
"Lucky Me" is a 1954 Technicolor musical comedy film starring Doris Day as a superstitious chorus girl who finds romance and career opportunities in Miami.
-
D.
Lucky Me
"Lucky Me" is a track featured on Big Sean's 2020 hip-hop album "Detroit 2."
-
E.
The Luckiest
"The Luckiest" is a tender piano ballad by singer-songwriter Ben Folds, celebrated for its heartfelt lyrics about love, fate, and lifelong companionship.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327cfb2fc8190bbc2765247c4b4e4 |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00457baed48190b559af7c0ac2711d |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:09 a.m.